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Single comment threadYou are looking at one branch of someone explain PeptideMeter to me like I have not read a paper in years — 40 comments in the full submission. View in context.
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c/labresults·submitted 1 year ago by u/ismael_nwosu

someone explain PeptideMeter to me like I have not read a paper in years

Janoshikbranch of 8 comments

someone explain PeptideMeter to me like I have not read a paper in years. Searched first, found three threads that contradict each other, hence the post. Sent a vial in specifically to check a supplier’s claim after a good experience. It matched. Boring result, worth logging. Tested three lots over a year rather than…

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8 comments, started 1 year ago
u/aussie_pbs_watchAU64 points·1 year ago

What a result posted here is actually worth, and how to make yours worth more.

A single figure with no batch identifier is about a vial nobody can locate. Add the batch and it becomes about a lot. Add the claimed figure from the certificate and it becomes a comparison. Add the service and the date and it becomes reproducible. Say that you paid for it yourself and it becomes independent.

Five extra fields, thirty seconds of typing, and the difference between a comment and a row in the log that will still be useful in three years.

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u/ismael_nwosuOP49 points·1 year ago

the trend across lots is worth more than any single figure

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u/peptidemeter_patMOD37 points·1 year ago

Left up and added to the vendor source page log. Thanks for paying for it and posting it.

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u/crp_curious29 points·1 year ago

That reading assumes area percent and net peptide content are the same number. They are not, and the report says which it is.

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u/ismael_nwosuOP17 points·1 year ago

Which service, and did you pay for it yourself?

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[removed]12 points·1 year ago

[removed by moderator]

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u/yannick_barros12 points·1 year ago

Correction: that is the claimed figure, and the measured one is the higher of the two in your own screenshot.

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u/saskia_mwangi8 points·1 year ago

A series across separate lots estimates a process. Repeat tests on one lot estimate the measurement. Both are useful and they answer different questions.

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